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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate Related OCI Services | 10% | - Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking |
| Topic 2: Apply MLOps Practices | 20% | - ML pipelines, automation, and reproducibility - Model monitoring, drift detection, and performance tracking - Governance, auditing, and compliance |
| Topic 3: Design and Set Up Data Science Workspace | 15% | - Configure compute shapes, storage, and networking - Manage access control, security, and IAM integration - Create and manage projects and notebook sessions |
| Topic 4: Implement End-to-End Machine Learning Lifecycle | 45% | - Use AutoML and built-in algorithms - Deploy models and manage endpoints - Model saving, cataloging, and versioning - Model development, training, and evaluation - Data preparation, exploration, and transformation |
| Topic 5: OCI Data Science - Introduction & Configuration | 10% | - Tenancy and environment configuration for Data Science - Capabilities of the Accelerated Data Science (ADS) SDK - Overview and core concepts of OCI Data Science |
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NEW QUESTION # 133
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
Answer: A,D,E
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify three required params for an OCI Data Flow app config.
Understand Data Flow: Runs Spark apps; needs compartment, storage, and identity.
Evaluate Options:
A: Archive path—Optional if script is in Object Storage—incorrect.
B: Local script path—Not needed; script is uploaded—incorrect.
C: Compartment—Required for resource scope—correct.
D: Bucket—Required for script storage/access—correct.
E: Display name—Required for app identification—correct.
Reasoning: C, D, E are mandatory metadata for Data Flow creation—script location is specified via bucket.
Conclusion: C, D, E are correct.
OCI documentation states: “To create a Data Flow application, configure the compartment OCID (C), Object Storage bucket for the PySpark script (D), and a display name (E) in the application object.” Local paths (B) or archives (A) are optional or handled separately—only C, D, E are required per OCI’s Data Flow API spec.
1: Oracle Cloud Infrastructure Data Flow Documentation, "Creating Applications".
NEW QUESTION # 134
In which two ways can you improve data durability in Oracle Cloud Infrastructure Object Storage?
Answer: C,D
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify two methods to enhance Object Storage durability.
Understand Durability: Ensures data isn’t lost—focus on redundancy and protection.
Evaluate Options:
A: RAID1—Block volume feature, not Object Storage.
B: Encryption—Secures data, not durability.
C: Versioning—Retains old versions, prevents loss—correct.
D: Limit delete—Prevents accidental deletion—correct.
E: Client encryption—Secures, not durability-focused.
Reasoning: C and D directly protect against data loss—durability-focused.
Conclusion: C and D are correct.
OCI documentation states: “Improve Object Storage durability with Versioning (C) to retain previous object versions and by limiting delete permissions (D) to prevent accidental loss.” A isn’t applicable, B and E focus on security—only C and D enhance durability per OCI’s storage features.
1: Oracle Cloud Infrastructure Object Storage Documentation, "Data Durability Options".
NEW QUESTION # 135
Which type of file system does File Storage use?
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify the file system type for OCI File Storage.
Understand File Storage: Network-attached storage in OCI.
Evaluate Options:
A: NFSv3—Network File System, used by File Storage—correct.
B: iSCSI—Block storage protocol, not File Storage.
C: Paravirtualized—Virtualization mode, not file system.
D: NVMe SSD—Hardware, not file system.
Reasoning: NFSv3 is OCI File Storage’s protocol.
Conclusion: A is correct.
OCI documentation states: “File Storage uses NFSv3 (A) as its file system protocol, providing shared storage across instances.” B, C, and D are unrelated—only A aligns with OCI’s File Storage design.
1: Oracle Cloud Infrastructure File Storage Documentation, "File System Protocol".
NEW QUESTION # 136
Which of the following analytical and statistical techniques do data scientists commonly use?
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify common data science techniques.
Define Techniques:
Classification: Predicts categories (e.g., spam vs. not).
Regression: Predicts continuous values (e.g., sales).
Clustering: Groups data (e.g., customer segments).
Evaluate Options:
A, B, C: All are standard ML/statistical methods.
D: Encompasses all—correct as they’re widely used.
Reasoning: These are foundational in data science workflows.
Conclusion: D is correct.
OCI documentation lists “classification, regression, and clustering as core techniques in data science, supported by tools like ADS SDK and AutoML.” All (D) are common per OCI’s ML framework, not just subsets (A, B, C).
1: Oracle Cloud Infrastructure Data Science Documentation, "Analytical Techniques".
NEW QUESTION # 137
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.
Answer: B,D,E
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Prevent deployment failure due to high utilization.
Evaluate Options:
A: More instances—Scales capacity—correct.
B: Delete—Stops service, not a solution.
C: Fewer instances—Worsens utilization.
D: Larger VM—Increases resource capacity—correct.
E: Reduce bandwidth—Limits load—correct.
Reasoning: A and D boost capacity, E controls demand—proactive fixes.
Conclusion: A, D, E are correct.
OCI documentation advises: “To handle high utilization, increase instances (A), use a larger compute shape (D), or adjust load balancer bandwidth (E) to manage request volume.” B stops service, C reduces capacity—only A, D, E prevent failure per OCI’s scaling options.
1: Oracle Cloud Infrastructure Data Science Documentation, "Model Deployment Scaling".
NEW QUESTION # 138
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